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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in AI?
π‘ Hint: Think about how decisions can favor one group over another.
Question 2
Easy
What does Disparate Impact measure?
π‘ Hint: Consider how outcomes could be less favorable for a particular group.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary function of IBM's AI Fairness 360?
π‘ Hint: Think about the tool's purpose.
Question 2
True or False: Disparate Impact is a measure of fairness.
π‘ Hint: Recall how it assesses demographic outcomes.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Analyze a scenario where an AI tool leads to biased hiring outcomes. Using the information from the tools discussed, propose a step-by-step approach on how the development team would mitigate this bias.
π‘ Hint: Consider the tools available for addressing bias.
Question 2
Imagine you are tasked with developing an AI system for predictive policing. Using the metrics learned in this section, outline how you would structure your approach to ensure fairness from start to finish.
π‘ Hint: Focus on the ethical considerations for policing AI.
Challenge and get performance evaluation